Vision

com.mart402Published by mart402.comOfficial publisherv1.0.0Updated Oct 25, 2026

Calibrated vision for AI agents: meal nutrition, personal color, styling reports. x402, no API key.

The publisher's own server: Extract

VerifiedStreamable HTTPWeb executableLocation & LifestyleAI & ML

Overview

Vision's hosted MCP server (mart402.com), published by mart402.com; no sign-in required; Streamable HTTP; 9 tools.

No AI overview yet: these facts come from the registry entry and the server itself.

Publisher
mart402.com
Endpoint
mart402.com
Last checked

Installation

In SourceWeft

  1. Open Vision in the dashboard and add it to a workspace.
  2. Enable the server for the chats that should use its tools.

Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.

Use with an agent

Paste this prompt into Claude Code, Codex, Cursor or another agent — or into SourceWeft chat. The agent reads this server's install guide, shows you its publisher, endpoint and sign-in, and adds it to your client once you agree. Keys never go into a command.

Read https://sourceweft.com/mcp/com.mart402%2Fvision/install.md and connect the MCP server it describes to my client. Before changing any config, show me its publisher, endpoint and sign-in method and wait for my OK. Never put an API key in a command or in a file I would commit; ask me where it should come from.

Read the install guide the agent follows

Other MCP clients

Add this to your client's mcpServers config.

{
  "mcpServers": {
    "vision": {
      "type": "http",
      "url": "https://mart402.com/mcp/vision"
    }
  }
}

Tools

9

get_catalog

Mart402 catalog (products, prices, policies)

Mart402 product catalog: all products, prices, payment config, error codes, rate limits. Free.

Takes no parameters.

get_receipt

Re-fetch a paid result by receipt

Re-fetch a previously paid result for free by receipt id (every paid response carries receipt_id).

Parametersreceipt_idrequired

get_sample

Mart402 sample output

Free recorded sample response for a paid product (from real production runs, marked sample:true) - see the exact response shape before paying anything. Available: document-pipeline, enrich, extract, jp-bonus-net, jp-business-days, jp-company, jp-consumption-tax, jp-crypto-tax, jp-dependent-threshold, jp-mortgage, jp-overtime-wage, jp-payroll-net, jp-payroll-suite, jp-payslip-audit, jp-retirement-tax, jp-social-insurance, meal-vision, ocr, parse, pdf-info, pdf-merge, pdf-pages, portrait-analysis, report-pack, structured, style-profile, style-report, verify.

Parametersproductrequired

portrait_precheck

Check a portrait photo (free)

FREE analyzability check before paying for portrait_analysis: is a face detectable, is the photo quality good enough (clipping/color cast)? Deterministic, no LLM. 10/hour/IP.

Parametersimage_urlimage_base64

meal_vision

Meal Vision

Analyze a meal photo to itemized nutrition JSON: dishes, portions, kcal, macros with per-item confidence, reference-object scale calibration, scene-complexity detection, a disclosed calibrated kcal range, PFC balance ratios and alcohol-aware 4/4/9 cross-checks. Calibrated on 30 weighed meals (range contained truth in 26/30). Every call is a 3-run consensus with disclosed spread + item agreement. $0.05/image.

Parametershintsimage_urlpack_codex_paymentimage_base64

style_profile

Style Profile

Integrated styling verdict: seasonal color (measured colorimetry consensus) + face-impression zone (published geometry rules) + body frame + integration rules (palette subset, taste, silhouette, modifiers). 1-3 face photos, optional full-body + questionnaire. Flat $0.05/call. Choose this when you want the integrated styling analysis as JSON to use or render yourself; it is the same analysis that style_report turns into a PDF. For color only use portrait_analysis.

Parametersstyleimagesimage_urlx_paymentimage_base64questionnairebody_image_urlbody_image_base64

style_report

Style Report

Client-ready deliverable: the style-profile analysis rendered as a finished PDF report in English or Japanese (palette with color names, style-aware outfit formulas, virtual draping boards with disclosed candidate conflicts, honest confidence) returned as report_pdf_base64 + full profile JSON. For agents serving human end-clients. Flat $2.99/call, or $1.99/unit with a prepaid report_pack credit (pass pack_code). Choose this when the result goes to a HUMAN end-client as a finished document; if you will present the result yourself, style_profile returns the same analysis as JSON for less.

Parametersnamestyleimageslanguageimage_urlpack_codex_paymentimage_base64questionnairebody_image_urlbody_image_base64

report_pack

Report Pack

Volume pricing for style_report: one $19.90 payment returns 10 single-use credit codes ($1.99/unit vs $2.99 single, en or ja, no expiry). Treat codes like cash. Not an analysis: it buys prepaid style_report credits. Choose this only when you expect to produce several style_report PDFs; pass each code as pack_code to style_report.

Parametersx_payment

portrait_analysis

Portrait Analysis

Personal color analysis from 1-3 portraits: measured pixel colorimetry (CIELAB/ITA) cross-checked against vision-model attributes, cross-photo lighting consistency, then a published deterministic rule table gives the 4-season verdict with palette and style advice. No identification; images not stored. Flat $0.05/call. Choose this when you need only the seasonal color verdict and palette as JSON. For the fuller styling verdict (face impression, body frame, silhouette) use style_profile; for a finished PDF for a human client use style_report.

Parametersstyleimagesimage_urlpack_codex_paymentimage_base64

Version history

1
  1. v1.0.0LatestOct 20, 2026

Score

72% of the applicable checks met

How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.

  • Reached in the last 30 daysRequired25 pts
  • Auth declaredRequired10 pts
  • Tools listedRequired15 pts
  • DescriptionRequired15 pts
  • Logo10 pts

    Publish an icon in the registry entry.

  • Documentation15 pts

    Declare a GitHub repository with a README, or serve resource_documentation in the OAuth protected-resource metadata.

  • LicenseNot applicable

    A hosted service is used under its provider's terms, so no license is expected here. This check is left out of the percentage.

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